Abstract：On the basis of deconstructing artificial intelligence into data, algorithms and computing power, this study constructs a dynamic general equilibrium model including artificial intelligence service sector, artificial intelligence application sector and household sector, to explore the impact mechanism of artificial intelligence on economic growth. Three major results are derived from the model. First, there exists an unbalanced steady-state growth path in the long run, and the endogenous growth comes from the substitution of the data factor to the capital factor through the application of artificial intelligence. Second, the accumulation of data, algorithms and computing power and the increase in the production efficiency impose positive effects on the output growth rate. Third, the unique “self-learning effect” of artificial intelligence can reverse the diminishing trend of output growth rate into an increasing trend in the short run, and can increase the steady-state level of output growth rate in the long run.
刘征驰，陈文武，魏思超. 技术解构视域下人工智能对经济增长路径的影响研究[J]. 管理学报, 2023, 20(10): 1506-.
LIU Zhengchi，CHEN Wenwu，WEI Sichao. Research on the Influence of Artificial Intelligence on Economic Growth Path from the Perspective of Technology Deconstruction. Chinese Journal of Management, 2023, 20(10): 1506-.
